1 March 1992 Computer vision: reconstructing 3-D model from 2-D images
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A comprehensive algorithm for the reconstruction of a three-dimensional model from a pair of two-dimensional images is presented in this paper. The dynamic programming matching based on the 'bridging method' are guided by the results of feature-based matching. In the process of feature-based matching, the mathematic morphology is introduced to describe the feature extracted out. In those areas without distinct feature points, area-based correlation is applied to get the fine location of the corresponding points. At last, the constraints in two directions are introduced to check out the mismatched points.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zheng Tan, Zheng Tan, Long Gong, Long Gong, } "Computer vision: reconstructing 3-D model from 2-D images", Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); doi: 10.1117/12.135090; https://doi.org/10.1117/12.135090

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